Are you at BMVC tomorrow and interested in VLMs? Come see our poster "Image Recognition with Vision and Language Embeddings of VLMs". 👁️📕 TLDR: We benchmark VLMs on language- and vision-based classification, and propose a simple, training-free vision-language fusion. Link: arxiv.org/pdf/2509.09311

We have PhD opportunity (start date Sep 2026) at the University of Edinburgh at the intersection of biodiversity mapping and zoonotic disease prediction. It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics: ai4bi-cdt.ed.ac.uk

23rd of October. @iccv.bsky.social We present our work on “Large-scale Pretraining for Grounded Video Caption Generation” with Cordelia Schmid and @josef-sivic.bsky.social at Exhibit Hall I #434 on the morning session. We’ll have a search demo for our dataset as well! See you there!! 🚀

Are you at @iccv.bsky.social #ICCV2025? Come by our poster.  📅 October 22, 2025, 14:30 – 16:30 HST  📍 Location: Exhibit Hall I, Poster #207

🌺 Just 4 days to go! Join us in Honolulu for the Instance-Level Recognition and Generation Workshop at #ICCV2025 🏝 🗓️ Oct 19, 8:30am–12:30pm 📍 Room 306 A We’ll have amazing keynotes, plus oral and poster sessions featuring accepted and invited papers. Don’t miss it! ilr-workshop.github.io/ICCVW2025/

The Visual Recognition Group at CTU in Prague organizes the 50th Pattern Recognition and Computer Vision Colloquium with Torsten Sattler, Paul-Edouard Sarlin, Vicky Kalogeiton, Spyros Gidaris, Anna Kukleva, and Lukas Neumann. On Thursday Oct 9, 11:00-17:00. cmp.felk.cvut.cz/colloquium/

Super happy that QuARI: Query Adaptive Retrieval Improvement was accepted at #NeurIPS2025. You can significantly boost retrieval performance for very hard retrieval tasks by learning query-specific transformations of your encoders. w/ @jacobsn.bsky.social @pless.bsky.social arxiv.org/pdf/2505.21647

Crash test your foundational models for object recognition at its finest granularity. Here are the updated results on our instance-level image retrieval benchmark (ILIAS-CVPR'25). DINOv3 and Perception Encoder (PE) are included, with DINOv3 being the new SoA! Oh, but no, look at this...

🚀 new state-of-the-art on ILIAS dataset! Curious how well the latest models can recognize particular objects? We evaluated the base and large variants of DINOv3 and Perception Encoder (PE) on instance-level image retrieval. See the results 👉 vrg.fel.cvut.cz/ilias/

Nice idea for cross-modal retrieval by @gtolias.bsky.social and team arxiv.org/abs/2509.00177 Use the text to generate images using an image generative model, and augment the text query with these. A bit brute-force if you ask me, but effectively captures the visual diversity.

The Colloquium in Pattern Recognition and Computer Vision of the Visual Recognition Group at CTU in Prague has a long tradition dating back to 1998. The list of all speakers is available docs.google.com/spreadsheets.... Enjoy! The 50th edition is coming soon cmp.felk.cvut.cz/colloquium/

Processing and acquisition traces in visual encoders: What does CLIP know about your camera? @ryan-ramos.bsky.social @stojnicv.xyz @gkordo.bsky.social Yuta Nakashima @gtolias.bsky.social @noagarciad.bsky.social tl;dr: CLIP sees difference DSLR vs iphone, DINO doesn't. arxiv.org/abs/2508.10637 1/

Have you ever asked yourself how much your favorite vision model knows about image capture parameters (e.g., the amount of JPEG compression, the camera model, etc.)? Furthermore, could these parameters influence its semantic recognition abilities?

🚨 Deadline Extension Instance-Level Recognition and Generation (ILR+G) Workshop at ICCV2025 @iccv.bsky.social 📅 new deadline: June 26, 2025 (23:59 AoE) 📄 paper submission: cmt3.research.microsoft.com/ILRnG2025 🌐 ILR+G website: ilr-workshop.github.io/ICCVW2025/ #ICCV2025 #ComputerVision #AI

Are you at @cvprconference.bsky.social #CVPR2025 ? Come and check out LPOSS. We show how can graph-based label propagation be used to improve weak, patch-level predictions from VLMs for open-vocabulary semantic segmentation. 📅 June 13, 2025, 16:00 – 18:00 CDT 📍 Location: ExHall D, Poster #421

Are you at @cvprconference.bsky.social? Come by our poster! 📅 Sat 14/6, 10:30-12:30 📍 Poster #395, ExHall D

Attending @cvprconference.bsky.social and looking for a PhD or postdoc position in the area of 3d reconstruction (Gaussian splatting, nerfs, scene understanding, etc.)? Find me or drop me an email ;)

6/ 📄 Paper 2: "LPOSS: Label Propagation Over Patches and Pixels for Open-Vocabulary Semantic Segmentation" Can graph-based label propagation refine weak, patch-level predictions from VLMs like CLIP? We say yes — introducing LPOSS and LPOSS+.

⚠️❗Open PhD and Postdoc positions in Prague with Lukas Neumann! ❗⚠️ We rank #5 in computer vision in Europe and Lukas is a great supervisor, so this is a great opportunity! If you are interested, contact him, he will also be at CVPR with his group :)

We will be presenting the 🍄 FungiTastic 🍄, a multimodal, highly challenging dataset and benchmark covering many ML problems at @fgvcworkshop.bsky.social CVPR-W on Wednesday! ⏱️ 16:15 📍104 E, Level 1 📸 www.kaggle.com/datasets/pic... 📃 arxiv.org/abs/2408.13632 @cvprconference.bsky.social

The 2nd CEGIS workshop on visual generative models evaluation is back at #ICCV2025!! Submit your contributions: - Deadline: June 26th 2025 - Notification: July 10th, 2025 - Camera-ready: August 18th, 2025 See you in Honolulu! sites.google.com/view/cegis-w... @iccv.bsky.social

Check this out: an accessible math font which actually looks nice! www.luciole-vision.com/en/math.html

Call for Papers update - ILR+G workshop @iccv.bsky.social We will now feature a single submission track with new submission dates. 📅 New submission deadline: June 21, 2025 🔗 Submit here: cmt3.research.microsoft.com/ILRnG2025 🌐 More details: ilr-workshop.github.io/ICCVW2025/ #ICCV2025

For years, we have tried to bring together researchers dedicated to the finest granularity of class definition—instance-level analysis. Now in its 7th edition, the event covers both recognition and generation tasks. Check out the call for papers

🚨 Call for Papers! 7th Instance-Level Recognition and Generation (ILR+G) Workshop at @iccv.bsky.social 📍 Honolulu, Hawaii 🌺 📅 October 19–20, 2025 🌐 ilr-workshop.github.io/ICCVW2025/ in-proceedings deadline: June 7 out-of-proceedings deadline: June 30 #ICCV2025

Anyone going to ICLR?

Btw Illia is a super talented young guy, just finnishing his 1st year of bachelors, and doesn't know anybody in the field yet, unfortunately nobody from our lab is going to ICLR.. lmk if you are looking to meet new people there and I can connect you! 🙏 👀

The Visual Recognition Group at CTU in Prague organizes the 49th Pattern Recognition and Computer Vision Colloquium with D. Karatzas, M. Masana, T. Tommasi, P. Mettes @pascalmettes.bsky.social , E. Brachmann @ericbrachmann.bsky.social and V. Stojnic @stojnicv.xyz cmp.felk.cvut.cz/colloquium/#...

Exciting News! Shoutout to @hf.co 🤗 for hosting ILIAS in its full scale! You can now easily download it via: huggingface.co/datasets/vrg... This marks a milestone in i2i and t2i retrieval, paving the way for significant advancements in the field. Huge thanks to @hf.co team for their support!

We are happy to share LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation. LPOSS is a training-free method for open-vocabulary semantic segmentation using Vision-Language Models.

Exciting research from NAVER LABS Europe @cvpr.bsky.social #CVPR2025 🚀! A breakdown of the 7 papers covering visual navigation, distillation, 3D reconstruction (remember #DUSt3R ☺️), localization & motion segmentation. europe.naverlabs.com/updates/cvpr/ 🧵 1/9 ⬇️

Not sure what to do with all the free time after ICCV deadline?🌴 Are you tired of all the self-driving datasets? Or you just like 🍄? Submit to our FungiCLEF25@CVPR challenge! Just launched, 2 months to go 🏃‍♂️. The task is few-shot recognition of 🍄 observations. More at www.kaggle.com/competitions...

Poster’s up at #WACV2025 !

📢 ‼️ 📢 ‼️ New blog post alert ‼️ 📢 ‼️ 📢 We are finally publishing our blog post: Flaws of ImageNet, Computer Vision's Favorite Dataset. Not only does it have many cute animals 🦦 🐈 🐋 , it also provides an overview of known issues, as well as new insights. klarajanouskova.github.io/ImageNet/

You can find easy cases in older datasets, this one mostly consists of hard examples. We created a new test dataset for instance-level retrieval to better reflect real world challenges. How does your new representation or retrieval model perform on ILIAS with 100m distractors? Accepted at CVPR'25

ILIAS is a large-scale test dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support future research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating foundation models and retrieval techniques.

ILIAS: Instance-Level Image retrieval At Scale @gkordo.bsky.social, Vladan Stojnić @annetka.bsky.social Pavel Šuma, Nikolaos-Antonios Ypsilantis @nikos-efth.bsky.social Zakaria Laskar,Jiří Matas, Ondřej Chum, @gtolias.bsky.social tl;dr: SigLIP rules. Lots of ablations arxiv.org/abs/2502.11748 1/

🚀Exciting news🚀 I’ve been awarded the Marie Skłodowska-Curie Postdoctoral Fellowship (#MCSA-PF) 2024 with 98/100!🎉 🥟My project, RAVIOLI, hosted at CTU in Prague, under @gtolias.bsky.social, integrates retrieval-augmented predictions into vision-language models for open-vocabulary segmentation.

For PhD and MSc students interested in a research visit to Prague/VRG in 2025: we're open to hosting short-term collaborations or internships on a range of computer vision topics. If this sounds exciting, reach out by e-mail! We'd love to discuss potential projects. Some examples 🧵 #Internship #CV

I stumbled on @eugenevinitsky.bsky.social 's blog and his "Personal Rules of Productive Research" is very good. I now do a lot of things in the post, & wish I had done them when I was younger. I share my "mini-paper" w ppl I hope will be co-authors. www.eugenevinitsky.com/posts/person...

EEML'25, our yearly machine learning summer school event, will be organised next summer in the beautiful city of Sarajevo - the place where East meets West 🇧🇦🇧🇦🇧🇦. More details coming soon, please see the link in the thread!

Excited to present UDON at NeurIPS '24 tomorrow (Thursday 12/12)! If you are interested in a scalable training method for multi-domain image embeddings, come to poster #1410 in the East Exhibit Hall A-C of the Vancouver Convention Center from 11 am to 2 pm (PST) to discuss!

1/n Bear with me for a moment: Imagine you train a model to classify photos, but you need it to generalize to paintings 🎨. You only have data from photos, and the target domain is inaccessible due to cost or legal rights. You train many models and you validate on the source domain.

🚀 New paper alert: FREEDOM is here! Check out “Composed Image Retrieval for Training-FREE DOMain Conversion,” our training-free method for domain conversion with VLMs. 🎯 📜 WACV 2025 💡 Retrieve images using image+text queries! 📖 arxiv.org/abs/2412.03297 🔗 github.com/NikosEfth/fr... #WACV2025 #AI

I wish OpenReview would randomize the order of the papers for #CVPR2025. When processing my batch, I always draw a random number to start from so that I'm not always ultra fresh for the lowest id and totally baked for the highest one. I encourage reviewers and ACs to do the same. Improve fairness!

Here is a small and cozy starter pack "Prague CV/ML". Most of the people here are not posting much, and I secretly hope that being in the list will motivate them to do so :P go.bsky.app/G9TYiYQ

Deep global descriptors give a convenient way for retrieval, but local descriptors are a game changer in finding needles in a haystack (particular objects in clutter). Due to their high cost, with AMES we optimize the performance/memory trade-off during re-ranking. #ECCV2024